While there are efforts to establish a single international accounting standard, there are strong current and future needs to handle heterogeneous accounting methods and systems. We advocate a context-based approach to dealing with multiple accounting standards and equational ontological...

Cameleon# is a web data extraction and management tool that provides information aggregation with advanced capabilities that are useful for developing value-added applications and services for electronic business and electronic commerce. To illustrate its features, we use an airfare aggregation...

Cameleon# is a web data extraction and management tool that provides information aggregation with advanced capabilities that are useful for developing value-added applications and services for electronic business and electronic commerce. To illustrate its features, we use an airfare aggregation...

We address the goal of making Delegation Logic (DL) into a practically implementable and tractable trustmanagement system. DL [22] is a logic-based knowledge representation (i.e., language) for authorization in largescale, open, distributed systems. As introduced in [22], DL inferencing is...

We address the problem of authorization in large-scale, open, distributed systems. Authorization decisions are needed in electronic commerce, mobile-code execution, remote resource sharing, privacy protection, and many other applications. We adopt the trust-management approach, in which...

SweetDeal is a rule-based approach to representation of business contracts that enables software agents to create, evaluate, negotiate, and execute contracts with substantial automation and modularity. It builds upon the situated courteous logic programs knowledge representation in RuleML, the...

This research addresses incentive principles that drive information sharing and affect database value. Many real world centralization and standardization efforts have failed, typically because departments lacked incentives or needed greater local autonomy. While intangible factors such as...

We examine a knowledge representation architecture to support context interchange mediation. For autonomous receivers and sources sharing a common subject domain, the mediator's reasoning engine can devise query plans integrating multiple sources and resolving semantic heterogeneity. Receiver...

One of the appealing features of artificial intelligence is the ability to come up with the “right” answer automatically, faster and more reliably than humans. In many cases, the right answer is singular and unambiguous, such as 2 + 2 = 4 (3.9 or 4.1 are close, but not right.). But, as is...